18462642. METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS simplified abstract (Capital One Services, LLC)
Contents
- 1 METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS
Organization Name
Inventor(s)
Bjorn Kwok of Richmond Hill (CA)
METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18462642 titled 'METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS
Simplified Explanation
Methods and systems are described for improving the efficiency of classifying user files in a database, particularly those with a temporal element. This is achieved by introducing time dependency into time-homogeneous probability models, which can then be used to classify user files more efficiently.
- The patent introduces time dependency into time-homogeneous probability models.
- This allows for improved classification of user files in a database.
- The method is particularly useful for files with a temporal element.
- By incorporating time dependency, the data processing efficiency is enhanced.
Potential Applications
This technology has potential applications in various fields, including:
- Data management systems
- Content classification systems
- File organization and retrieval systems
- Time-sensitive data analysis
Problems Solved
The technology addresses the following problems:
- Inefficient classification of user files in a database
- Difficulty in handling files with a temporal element
- Lack of time dependency in time-homogeneous probability models
- Slow data processing for files requiring temporal analysis
Benefits
The benefits of this technology include:
- Improved efficiency in classifying user files
- Enhanced data processing speed
- More accurate classification of files with a temporal element
- Better organization and retrieval of time-sensitive data
Original Abstract Submitted
Methods and systems are described herein for improving data processing efficiency of classifying user files in a database. More particularly, methods and systems are described herein for improving data processing efficiency of classifying user files in a database in which the user files have a temporal element. The methods and system described herein accomplish these improvements by introducing time dependency into time-homogeneous probability models. Once time dependency has been introduced into the time-homogeneous probability models, these models may be used to improve the data processing efficiency of classifying the user files that feature a temporal element.
